Author

Er-Wu Liu

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Review Open access Sep 2026

Task-Oriented Framework for Communication-Efficient Federated Learning: From Isolated Optimization to Holistic Synergy

Communication bottlenecks remain a primary obstacle to the large-scale deployment of federated learning (FL). This article proposes a comprehensive framework for building communication-efficient FL, founded on three fundamental pillars: model compression, client selection, and resource allocation. We first survey state...

Fu-Qiang Pan, Yan Liu, Er-Wu Liu et al. · IEEE Internet of Things Maga... · 0 citations

#edge computing Review Open access Sep 2026

A Survey of Decentralized Physical Infrastructure Network, Research Directions, and Open Challenges

This paper analyzes the DePIN technology stack from six layers: physical infrastructure, blockchain, interaction, trust, incentive, and application, with special attention to their cross-layer feedback loops, implementation readiness, and deployment limitations.

Ming Jiang, Erwu Liu, Xinyu Qu et al. · IEEE Communications Surveys... · 0 citations

2026

Privacy-Preserving Consensus-Oriented Aggregation for Federated Learning With Heterogeneity

Achieving reliable network-wide consensus formation in distributed learning systems becomes increasingly challenging when edge nodes hold skewed data distributions. Federated learning (FL) enables privacy-preserving collaborative model training without sharing raw data, but statistical heterogeneity across nodes signif...

Xinyu Qu, Shaoyi Han, Erwu Liu et al. · IEEE Transactions on Network... · 1 citation